Hey guys,

for a study, I will need to group individuals into two groups, treatment and control. I found huge literature saying that pure randomization is not the most efficient option to allocate treatment.

Possible allocation mechanism I found are matching, propensity score, CBPS, stratification and so on. But I am unsure which I should use for my specific case:

I will get some background information before I need to assign the treatment. But, the treatment period is about 3 months long and in the end, individuals might drop out or not. Thus, matching seems to be optimal to me, because I can easily drop the complete pair as soon as one individual drops out.

What do you guys think about ti? And which packages/programmes could you suggest using? I am familiar with Stata and R.

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